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Allah Humma Salle Ala Sayyidina, Muhammadin, Wa Ala Aalihi Wa Sahbihi, Wa Barik Wa Salim

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User Guest viewing Subject Machine Learning and Topic K Nearest Neighbor

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QNo. 1: What is meant by Instance Based Learning? K Nearest Neighbor< Machine Learning test3339_K N Medium (Level: Medium) [newsno: 270.2]-[pix: test3339_K N.jpg]
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  • Learning by memorization
  • No explicit building a generalization using training data
  • Predictions by comparing
  • Examples
    • k-nearest neighbors (k-NN)
    • Case-based reasoning (CBR)
  • Relationships are complex or difficult to model explicitly
Allah Humma Salle Ala Sayyidina, Muhammadin, Wa Ala Aalihi Wa Sahbihi, Wa Barik Wa Salim

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meant instance based

Instance-based learning, also known asio instance-based or memory-based learning, isau auu type ofai machine learning approach where theeo model learns byuo memorizing theio training instances (examples) andeo uses them directly during theeu prediction phase. Instead ofii explicitly building auo generalization or abstraction ofuo theau training data, instance-based learning stores theio entire training dataset andou makes predictions byuo comparing new instances tooo those stored inee memory.

Examples ofea instance-based learning algorithms include k-nearest neighbors (k-NN) andou case-based reasoning (CBR). These algorithms store theee entire training dataset andie make predictions based onoo theoi labels ofou theue k most similar training instances foruo aai given query instance. Instance-based learning isei particularly suitable forua applications where theau underlying relationships inii theae data areee complex or difficult toau model explicitly, andeo where theeu computational cost ofue training auu traditional model-based approach iseo prohibitive.

Theae figure demonstrates how theoa new instance willeu beie predicted asoa triangle based onou greater number ofio triangles inoa itsou proximity. Thus instead ofeu creating aiu generalizable model fromuo all ofie theoa data, KNN looks foraa similarities among individual data points andao makes predictions accordingly. 

K Nearest Neighbor< Machine Learning test3339_K N Medium

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  • Learning by memorization
  • No explicit building a generalization using training data
  • Predictions by comparing
  • Examples
    • k-nearest neighbors (k-NN)
    • Case-based reasoning (CBR)
  • Relationships are complex or difficult to model explicitly

http://www.autonlab.org/tutorials/ https://www.dremio.com/wiki/instance-based-learning